437 Result(s)
within
Mathematics
Image Processing and Computer Vision
**e **an
Chapter
Conference Paper
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Chapter and Conference Paper
Automatic Parameter Selection Based on Residual Whiteness for Convex Non-convex Variational Restoration
restoration is a well-known ill-posed inverse problem whose aim is to recover a sharp clean image from the corresponding blur- and noise-corrupted observation. Variational methods penalize solutions deeme...
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Chapter and Conference Paper
Towards Learned Optimal q-Space Sampling in Diffusion MRI
Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber tractography takes advantage of d...
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Chapter and Conference Paper
On the Optimal Proximal Parameter of an ADMM-like Splitting Method for Separable Convex Programming
proposed an ADMM-like splitting method in [11] for solving convex minimization problems with linear constraints and multi-block separable objective functions. Its proximal parameter is required to be sufficien...
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Chapter and Conference Paper
Improving Tractography Accuracy Using Dynamic Filtering
Based on diffusion-weighted magnetic resonance imaging data, allows studying the complex structure of the brain white matter. During the last decade, different approaches showed the benefits of using micros...
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Chapter and Conference Paper
Direct Reconstruction of Crossing Muscle Fibers in the Human Tongue Using a Deep Neural Network
The human tongue is made entirely of muscle fibers that either group in a single direction or cross orthogonally in pairs. Reconstructing the muscle fiber orientations throughout the tongue can be beneficial f...
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Chapter and Conference Paper
Repeatability of Soma and Neurite Metrics in Cortical and Subcortical Grey Matter
Diffusion magnetic resonance imaging is a technique which has long been used to study white matter microstructure in vivo. Recent advancements in hardware and modelling techniques have opened up interest in di...
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Chapter and Conference Paper
Diffusion MRI Fiber Orientation Distribution Function Estimation Using Voxel-Wise Spherical U-Net
Diffusion Magnetic Resonance Imaging (dMRI) is an imaging technique which enables analysis of the brain tissue at a microscopic scale, particularly the analysis of white matter. Given a high enough angular res...
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Chapter and Conference Paper
Deep Learning Model Fitting for Diffusion-Relaxometry: A Comparative Study
Quantitative Magnetic Resonance Imaging ( ) model is traditionally performed via non-linear least square (NLLS) estimation. NLLS is slow and its performance can be affected by the presence of different loc...
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Chapter and Conference Paper
Enhancing Diffusion Signal Augmentation Using Spherical Convolutions
The application of deep in the field of diffusion is becoming increasingly popular. However, correlations of acquired adjacent gradient directions are often ignored. To make use of this information in a ne...
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Chapter and Conference Paper
Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis
Unpaired image-to-image translation has been applied successfully to natural images but has received very little attention for manifold-valued data such as in diffusion tensor imaging (DTI). The non-Euclidean ...
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Chapter and Conference Paper
Automatic Segmentation of Dentate Nuclei for Microstructure Assessment: Example of Application to Temporal Lobe Epilepsy Patients
Dentate nuclei (DNs) segmentation is helpful for assessing their potential involvement in neurological diseases. Once DNs have been segmented, it becomes possible to investigate whether DNs are microstructural...
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Chapter and Conference Paper
Multi-modal Brain Age Estimation: A Comparative Study Confirms the Importance of Microstructure
Brain age inferred from neuroimaging data could reveal important information about the evolution of structural and functional cerebral features across the life span. This has important implications for underst...
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Chapter and Conference Paper
Exploring DTI Benchmark Databases Through Visual Analytics
Diffusion MRI studies include tests on standardised phantoms and measurements on the output images to assess and benchmark the imaging system. These tests are an essential methodological step to guarantee the ...
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Chapter and Conference Paper
Point Spread Function Engineering for 3D Imaging of Space Debris Using a Continuous Exact \(\ell _0\) Penalty (CEL0) Based Algorithm
consider three-dimensional (3D) localization and imaging of space debris from only one two-dimensional (2D) snapshot image. The technique involves an optical imager that exploits off-center image rotati...
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Chapter and Conference Paper
The Shortest Path AMID 3-D Polyhedral Obstacles
is well known that the problem of finding the shortest path amid 3-D polyhedral obstacles is a NP-Hard problem. In this paper, we propose an efficient algorithm to find the globally shortest path by solvi...
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Chapter and Conference Paper
Multi-modality Image Registration Models and Efficient Algorithms
this Chapter we discuss multi-modality image registration models and efficient algorithms. We propose a simple method to enhance a variational model to generate a diffeomorphic transformation. The idea is...
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Chapter and Conference Paper
A Total Variation Regularization Method for Inverse Source Problem with Uniform Noise
problem of inverse source problem is considered in this paper. The main aim of this problem is to determine the source density function from the state function which is corrupted by uniform noise. Under the...
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Chapter and Conference Paper
Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data
We present a reconstruction scheme for diffusion MRI data acquired using slice-interleaved diffusion encoding (SIDE). We show that, when combined with multi-band imaging, the method is capable of reducing the ...
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Chapter and Conference Paper
Total Variation Gamma Correction Method for Tone Mapped HDR Images
map** methods aim to display a high dynamic range (HDR) image on a common 8-bit liquid crystal display by compressing its dynamic range. Both color rendering and contrast are two important issues in the d...
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Chapter and Conference Paper
A Signal Peak Separation Index for Axisymmetric B-Tensor Encoding
Diffusion-weighted MRI (DW-MRI) has recently seen a rising interest in planar, spherical and general B-tensor encodings. Some of these sequences have aided traditional linear encoding in the estimation of whit...
